David Linke

11 papers A 1Journal 4Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
ChemDCAT-AP: Enabling Semantic Interoperability with a Contextual Extension of DCAT-AP.
CoRR
Philip Stroemert, Hendrik Borgelt, David Linke, Mark Doerr, Bhavin Katabathuni, Oliver Koepler, Norbert Kockmann
2026 — conf
Towards a Blackboard-based Scientific Workflow Orchestration: A Proof-of-Concept Implementation (Poster Paper).
ICPE Companion
David Linke, Lorenz Gruber, David Dingel, Nicola Ferger, Nikolas Herbst, Samuel Kounev
2025 J jnl
LinkML: An Open Data Modeling Framework.
CoRR
Sierra A. T. Moxon, Harold Solbrig, Nomi L. Harris, Patrick Kalita, Mark A. Miller, Sujay Patil, Kevin Schaper, Chris Bizon, J. Harry Caufield, Silvano Cirujano Cuesta, Corey Cox, Frank Dekervel, Damion M. Dooley, William D. Duncan, Tim Fliss, Sarah Gehrke, Adam S. L. Graefe, Harshad Hegde, AJ Ireland, Julius O. B. Jacobsen, Madan Krishnamurthy, Carlo Kroll, David Linke, Ryan Ly, Nicolas Matentzoglu, James A. Overton, Jonny L. Saunders, Deepak R. Unni, Gaurav Vaidya, Wouter-Michiel A. M. Vierdag, LinkML Community Contributors, Oliver Ruebel, Christopher G. Chute, Matthew H. Brush, Melissa A. Haendel, Christopher J. Mungall
2024 — conf
Extrapolation Problems in Kinetic Modelling of Catalytic Reactions with Neural Networks.
ITAT
Aleksandr Fedorov, David Linke
2024 J jnl
On the Realisation of a Workflow for Continuous Earth Observation of Forest Dynamics: A Performance Engineering Challenge.
Softwaretechnik-Trends
Nikolas Herbst, Niklas Jaggy, David Dingel, David Linke, Claudia Kuenzer, Samuel Kounev
2012 A conf
Surrogate modeling in the evolutionary optimization of catalytic materials.
GECCO
Martin Holena, David Linke, Lukás Bajer
2011 — conf
Case study: constraint handling in evolutionary optimization of catalytic materials.
GECCO (Companion)
Martin Holena, David Linke, Lukás Bajer
2010 — conf
Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning.
SEAL
Martin Holena, David Linke, Uwe Rodemerck
2010 — conf
Neural Networks as Surrogate Models for Measurements in Optimization Algorithms.
ASMTA
Martin Holena, David Linke, Uwe Rodemerck, Lukás Bajer
2009 — conf
Boosted Neural Networks in Evolutionary Computation.
ICONIP (2)
Martin Holena, David Linke, Norbert Steinfeldt
2008 J jnl
Optimization of Catalysts Using Specific, Description-Based Genetic Algorithms.
J. Chem. Inf. Model.
Martin Holena, Tatjana Cukic, Uwe Rodemerck, David Linke